The Security, Safety, and Reliability standard for AI agents
Stay up to date with AIUC-1
The Security, Safety, and Reliability standard for AI agents
Stay up to date with AIUC-1
Maintain logs of AI system processes, actions, and agent outputs where permitted to support incident investigation, auditing, and explanation of AI system behavior
Logging code or configuration showing what system activity is captured - may include code logging inputs and outputs, logging configuration file specifying what to log, or example log entries showing captured information (timestamps, inputs, outputs, user actions).
Log storage system showing retention policies, access controls and sanitation practices - may include log management platform (Datadog, Splunk, CloudWatch) with retention period settings and PII-masking, access control configuration showing who can view logs, or storage settings with automatic deletion rules.
Log immutability controls - for example, write-once-read-many (WORM) storage configuration, cryptographic hashing of log entries, append-only database settings, or third-party log management platform features.
Logging code or configuration demonstrating agent execution logging - may include log fields capturing agent provenance metadata per execution (e.g. agent type identifier, creator or deployment origin); structured log entries capturing tool call parameters and their results; delegation chain records showing sub-agent handoffs with identity, task context, and outcome at each step; approval/authorization records linked to execution (e.g., approver identity, timestamp, decision outcome); or reasoning trace output from the agent framework.
Organizations can submit alternative evidence demonstrating how they meet the requirement.
"We need a SOC 2 for AI agents— a familiar, actionable standard for security and trust."
"Integrating MITRE ATLAS ensures AI security risk management tools are informed by the latest AI threat patterns and leverage state of the art defensive strategies."
"Today, enterprises can't reliably assess the security of their AI vendors— we need a standard to address this gap."
"Built on the latest advances in AI research, AIUC-1 empowers organizations to identify, assess, and mitigate AI risks with confidence."
"AIUC-1standardizes how AI is adopted. That's powerful."
"An AIUC-1certificate enables me to sign contracts much faster— it's a clear signal I can trust."
